stxupengyu / LSTM-regression-and-classification
使用LSTM对股票价格进行回归预测,对股价涨跌进行分类预测。We use LSTM to forecast the stock price and classify the rise and fall of the stock price.
☆18Updated 4 years ago
Alternatives and similar repositories for LSTM-regression-and-classification:
Users that are interested in LSTM-regression-and-classification are comparing it to the libraries listed below
- 使用随机森林、bp神经网络、LSTM神经网络、GRU对股票收盘价进行回归预测。Random forest, BP neural network, LSTM neural network and GRU are used to predict the closing pric…☆53Updated 4 years ago
- 算法根据单个板块或单只股票的历史数据判断板块指数或个股次日收盘价信息,得到相应的调仓对策。可回归(预测具体价格)可分类(预测涨跌)。 长短期记忆模型(LSTM)是循环神经网络(RNN)的一种,每个输入样本都是一个序列(如某板块20天的四价一量)用这个序列预测结果。它认为某些…☆62Updated 5 years ago
- Use BPNN and LSTM to forecast stock price. 使用BP神经网络和LSTM预测股票价格,注释拉满。☆194Updated 2 years ago
- 用深度学习对含噪时间序列数据进行预测☆28Updated last month
- 基于粒子群算法的神经网络优化股票价格预测☆33Updated 4 years ago
- 股票趋势预测☆33Updated 6 years ago
- (陆续更新)重新整理过的基于机器学习的股票价格预测算法,里面包含了基本的回测系统以及各种不同的机器学习算法的股票价格预测,包含:LSTM算法、Prophet算法、AutoARIMA、朴素贝叶斯、SVM等☆68Updated 5 years ago
- pytorch实现用LSTM做股票价格预测☆255Updated 4 years ago
- 基于LSTM的股票价格预测☆64Updated 6 years ago
- 基于PyTorch框架,使用LSTM网络对股票价格进行预测☆21Updated 3 years ago
- 这是一个基于LSTM-RNN算法的线上金融股票价格走势预测的小项目,使用tensorflow框架实现。☆47Updated 6 years ago
- LSTM 实现的股票最高价预测☆139Updated 2 years ago
- 使用卷积神经网络-长短期记忆网络(bi-LSTM)-注意力机制对股票收盘价进行回归预测。The convolution neural network, short-term memory network and attention mechanism are used to…☆273Updated last year
- LSTM和BP神经网络实现对股票开盘价的预测。☆15Updated 5 years ago
- 深度学习-贵州茅台股票预测 PCA、FA、RNN、LSTM、GRU☆26Updated 3 years ago
- 股票预测,Pytorch,LSTM。☆17Updated 4 years ago
- 基于BP神经网络的股票价格预测☆25Updated last month
- LSTM神经网络预测沪深300指数及其涨跌☆41Updated 4 years ago
- ☆93Updated 3 years ago
- 基于机器学习的股票投资算法,使用到了Auto-ARIMA、LSTM、SVM、Prophet、朴素贝叶斯、移动平均算法等多个算法,从信息收集、算法分析、回测等多个方面进行分析,从消息面、基本面、技术面三种分析方法进行分析。☆97Updated 5 years ago
- ☆10Updated 3 years ago
- Time Series Prediction, Stateful LSTM; 时间序列预测,洗发水销量/股票走势预测,有状态循环神经网络☆58Updated 7 years ago
- A Study on Stock Price Prediction and Quantitative Strategy - Based on Deep Learning 『深層学習に基づく株価予測とクオンツ戦略に関する研究』基于深度学习的股票价格预测和量化策略研究☆26Updated 3 years ago
- 多元多步时间序列的LSTM模型预测——基于Keras☆80Updated 3 years ago
- Undergradute final project with ARIMA,LSTM,GRU,Xgboost and DeepTTE.毕业论文代码库合集,包括基于ARIMA,LSTM,GRU进行时间序列预测,基于DeepTTE解决ETA(estimated time of …☆20Updated 2 years ago
- 使用pytorch搭建的循环神经网络在股票数据时间序列上的应用☆105Updated 7 years ago
- An attempt to implement the idea behind this paper: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0212320☆20Updated 3 years ago
- 金融时间序列(预测分析 / 相似度 / 数据处理)☆233Updated 9 months ago
- Closing price prediction for BTC and ETH using LSTM, CNN-LSTM, BiLSTM, CNN-BiLSTM, and GRU☆30Updated 2 years ago
- Attempt to use XGBoost in stock price prediction☆85Updated 4 years ago